本文整理匯總了Python中dash_html_components.H3屬性的典型用法代碼示例。如果您正苦於以下問題：Python dash_html_components.H3屬性的具體用法？Python dash_html_components.H3怎麽用？Python dash_html_components.H3使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類dash_html_components的用法示例。
在下文中一共展示了dash_html_components.H3屬性的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: render_content
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def render_content(tab):
if tab == 'tab-1':
return html.Div([
html.H3('Tab content 1')
])
elif tab == 'tab-2':
return html.Div([
html.H3('Tab content 2')
])
elif tab == 'tab-3':
return html.Div([
html.H3('Tab content 3')
])
elif tab == 'tab-4':
return html.Div([
html.H3('Tab content 4')
]) 示例2: generate_layout
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def generate_layout():
expensive_data = compute_expensive_data()
return html.Div([
html.H3('Last updated at: ' + expensive_data),
html.Div(id='flask-cache-memoized-children'),
dcc.RadioItems(
id='flask-cache-memoized-dropdown',
options=[
{'label': 'Option {}'.format(i), 'value': 'Option {}'.format(i)}
for i in range(1, 4)
],
value='Option 1'
),
html.Div('Results are cached for {} seconds'.format(timeout))
]) 示例3: update_text
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def update_text(hoverData):
s = df[df['storenum'] == hoverData['points'][0]['customdata']]
return html.H3(
'The {}, {} {} opened in {}'.format(
s.iloc[0]['STRCITY'],
s.iloc[0]['STRSTATE'],
s.iloc[0]['type_store'],
s.iloc[0]['YEAR']
)
) 示例4: create_examples
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def create_examples(
examples_data
):
examples = []
for example in examples_data:
examples += [
html.H3(example['param_name'].title()),
rc.Markdown(example['description']),
rc.ComponentBlock(example['code']),
html.Hr()
]
return examples 示例5: render_content
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def render_content(tab):
if tab == 'tab-1':
return html.Div([
html.H3('Tab content 1')
])
elif tab == 'tab-2':
return html.Div([
html.H3('Tab content 2')
]) 示例6: render_content
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def render_content(tab):
if tab == 'tab-1-example-graph':
return html.Div([
html.H3('Tab content 1'),
dcc.Graph(
id='graph-1-tabs',
figure={
'data': [{
'x': [1, 2, 3],
'y': [3, 1, 2],
'type': 'bar'
}]
}
)
])
elif tab == 'tab-2-example-graph':
return html.Div([
html.H3('Tab content 2'),
dcc.Graph(
id='graph-2-tabs',
figure={
'data': [{
'x': [1, 2, 3],
'y': [5, 10, 6],
'type': 'bar'
}]
}
)
]) 示例7: create_default_example
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def create_default_example(
component_name,
example_code,
styles,
component_hyphenated
):
'''Generate a default example for the component-specific page.
:param (str) component_name: The name of the component as it is
defined within the package.
:param (str) example_code: The code for the default example.
:param (dict) styles: The styles to be applied to the code
container.
:rtype (list[object]): The children of the layout for the default
example.
'''
return [
rc.Markdown('See [{} in action](http://dash-gallery.plotly.host/dash-{}).'.format(
component_name,
component_hyphenated
)),
html.Hr(),
html.H3("Default {}".format(
component_name
)),
html.P("An example of a default {} component without \
any extra properties.".format(
component_name
)),
rc.Markdown(
example_code[0]
),
html.Div(
example_code[1],
className='example-container'
),
html.Hr()
] 示例8: update_graph
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H3 [as 別名]
def update_graph(tickers):
graphs = []
for i, ticker in enumerate(tickers):
try:
df = pyEX.chartDF(str(ticker), '6m').reset_index()
except:
graphs.append(html.H3(
'Data is not available for {}, please retry later.'.format(ticker),
style={'marginTop': 20, 'marginBottom': 20}
))
continue
candlestick = {
'x': df['date'],
'open': df['open'],
'high': df['high'],
'low': df['low'],
'close': df['close'],
'type': 'candlestick',
'name': ticker,
'legendgroup': ticker,
'increasing': {'line': {'color': colorscale[0]}},
'decreasing': {'line': {'color': colorscale[1]}}
}
bb_bands = bbands(df.close)
bollinger_traces = [{
'x': df['date'], 'y': y,
'type': 'scatter', 'mode': 'lines',
'line': {'width': 1, 'color': colorscale[(i*2) % len(colorscale)]},
'hoverinfo': 'none',
'legendgroup': ticker,
'showlegend': True if i == 0 else False,
'name': '{} - bollinger bands'.format(ticker)
} for i, y in enumerate(bb_bands)]
graphs.append(dcc.Graph(
id=ticker,
figure={
'data': [candlestick] + bollinger_traces,
'layout': {
'margin': {'b': 0, 'r': 10, 'l': 60, 't': 0},
'legend': {'x': 0}
}
}
))
return graphs